Data

Northern Prawn Fishery Fishing Effort Estimated from VMS Data

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact) Rochester, Wayne (Point of contact)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/9c211ab0-d9f2-4d86-90ca-00d84e61c813&rft.title=Northern Prawn Fishery Fishing Effort Estimated from VMS Data&rft.identifier=Anzlic Identifier: ANZCW0306007028&rft.publisher=Australian Ocean Data Network&rft.description=The dataset comprises GIS grids of fishing effort of the Northern Prawn Fishery (NPF) estimated from vessel monitoring system (VMS) data. The VMS is operated by the Australian Fisheries Management Authority (AFMA). It periodically records the location of each vessel in the fishery. Note that the activity of the vessel at the time is not recorded. The system's primary purpose is to monitor compliance with fishing regulations, but the data can also be used for research. To estimate fishing effort from the VMS records, we estimated the track of each fishing vessel by joining successive vessel locations with lines. We divided the track into apparent trawling and non-trawling sections (e.g. based on date, time and vessel speed), and calculated the time each trawling section spent in each cell of a GIS grid covering the managed area of the fishery. This method for estimating fishing effort from VMS data has limitations. Because a vessel may have taken a path other than a straight line between the polls, our straight line path (a) may only partially match the real path of the vessel, (b) may underestimate the length of the path traversed by the vessel, and (c) may underestimate the speed of the vessel. Note that (a) and (b) would affect which particular grid cells the trawling time was allocated to, but not the total trawling time that was added to the grid. The use of vessel speed to filter out non-trawling activity is imperfect because vessels may carry out other activities at speeds less than the maximum trawling speed.Progress Code: completedMaintenance and Update Frequency: annuallyStatement: Refer to the project report.&rft.creator=Anonymous&rft.date=2008&rft.coverage=westlimit=126.6; southlimit=-17.7; eastlimit=142.7; northlimit=-9.5; projection=WGS84&rft.coverage=westlimit=126.6; southlimit=-17.7; eastlimit=142.7; northlimit=-9.5; projection=WGS84&rft_rights=Confidential - not for public release&rft_subject=oceans&rft_subject=Earth Science | Biological Classification | Animals/Invertebrates&rft_subject=Earth Science | Biological Classification | Animals/Invertebrates | Arthropods | Crustaceans | Decapods&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Demersal Habitat&rft_subject=Satellites&rft_subject=Marine Features (Australia) | Gulf of Carpentaria, NT/QLD&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Quantifying the effects of trawling on the seabed biota of the NPF&rft.type=dataset&rft.language=English Access the data
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Brief description

The dataset comprises GIS grids of fishing effort of the Northern Prawn Fishery (NPF) estimated from vessel monitoring system (VMS) data. The VMS is operated by the Australian Fisheries Management Authority (AFMA). It periodically records the location of each vessel in the fishery. Note that the activity of the vessel at the time is not recorded. The system's primary purpose is to monitor compliance with fishing regulations, but the data can also be used for research. To estimate fishing effort from the VMS records, we estimated the track of each fishing vessel by joining successive vessel locations with lines. We divided the track into apparent trawling and non-trawling sections (e.g. based on date, time and vessel speed), and calculated the time each trawling section spent in each cell of a GIS grid covering the managed area of the fishery. This method for estimating fishing effort from VMS data has limitations. Because a vessel may have taken a path other than a straight line between the polls, our straight line path (a) may only partially match the real path of the vessel, (b) may underestimate the length of the path traversed by the vessel, and (c) may underestimate the speed of the vessel. Note that (a) and (b) would affect which particular grid cells the trawling time was allocated to, but not the total trawling time that was added to the grid. The use of vessel speed to filter out non-trawling activity is imperfect because vessels may carry out other activities at speeds less than the maximum trawling speed.

Lineage

Progress Code: completed
Maintenance and Update Frequency: annually
Statement: Refer to the project report.

Notes

Credit
Australian Fisheries Management Authority - data
Credit
Fisheries Research and Development Corporation - funding
Credit
Wayne Rochester
Credit
Mick Haywood

Data time period: 1998-01-01 to 2009-12-31

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142.7,-9.5 142.7,-17.7 126.6,-17.7 126.6,-9.5 142.7,-9.5

134.65,-13.6

text: westlimit=126.6; southlimit=-17.7; eastlimit=142.7; northlimit=-9.5; projection=WGS84

Subjects
Earth Science | Biological Classification | Animals/Invertebrates | Earth Science | Biological Classification | Animals/Invertebrates | Arthropods | Crustaceans | Decapods | Earth Science | Biosphere | Aquatic Ecosystems | Demersal Habitat | Marine Features (Australia) | Gulf of Carpentaria, NT/QLD | Quantifying the effects of trawling on the seabed biota of the NPF | Regional Seas | Arafura Sea | Regional Seas | Timor Sea | Satellites | oceans |

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Identifiers
  • Local : Anzlic Identifier: ANZCW0306007028
  • Local : Marlin Record Number: 7028
  • global : 9c211ab0-d9f2-4d86-90ca-00d84e61c813
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